Evidence map›Paper›PMID 28352326›Full record

ArticleExperimental and therapeutic medicine2017

Genetic variants in

Hugo Leonid Gallardo-Blanco, Jesus Zacarías Villarreal-Perez, Ricardo Martin Cerda-Flores, Andres Figueroa, Celia Nohemi Sanchez-Dominguez, Juana Mercedes Gutierrez-Valverde, Iris Carmen Torres-Muñoz, Fernando Javier Lavalle-Gonzalez, Esther Carlota Gallegos-Cabriales, Laura Elia Martinez-Garza

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Hugo Leonid Gallardo-BlancoDepartment of Genetics, School of Medicine, Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Jesus Zacarías Villarreal-PerezDepartment of Endocrinology, University Hospital 'José Eleuterio González', Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Ricardo Martin Cerda-FloresSchool of Nursing, Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Andres FigueroaDepartment of Computer Science, University of Texas Rio Grande Valley, TX 78539, USA.
Celia Nohemi Sanchez-DominguezDepartment of Biochemistry and Molecular Medicine, School of Medicine, Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Juana Mercedes Gutierrez-ValverdeSchool of Nursing, Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Iris Carmen Torres-MuñozDepartment of Genetics, School of Medicine, Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Fernando Javier Lavalle-GonzalezDepartment of Endocrinology, University Hospital 'José Eleuterio González', Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Esther Carlota Gallegos-CabrialesSchool of Nursing, Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Laura Elia Martinez-GarzaDepartment of Genetics, School of Medicine, Autonomous University of Nuevo León, Monterrey, Nuevo León, CP 64460, Mexico.
Universidad Autónoma de Nuevo León · MXThe University of Texas Rio Grande Valley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate whether genetic markers considered risk factors for metabolic syndromes, including dyslipidemia, obesity and type 2 diabetes mellitus (T2DM), can be applied to a Northeastern Mexican population. A total of 37 families were analyzed for 63 single nucleotide polymorphisms (SNPs), and the age, body mass index (BMI), glucose tolerance values and blood lipid levels, including those of cholesterol, low-density lipoprotein (LDL), very LDL (VLDL), high-density lipoprotein (HDL) and triglycerides were evaluated. Three genetic markers previously associated with metabolic syndromes were identified in the sample population, including

Indexed as

associationbody mass indexcholesterolhigh-density lipoproteinHNF4AKCNJ11linkage disequilibriumlow-density lipoproteinTCF7L2type 2 diabetes

Identifiers

PMID28352326
PMCPMC5348709
OpenAlexW2561507644

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.